CN113160095A - Infrared detection signal pseudo-color processing method, device and system and storage medium - Google Patents
Infrared detection signal pseudo-color processing method, device and system and storage medium Download PDFInfo
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Abstract
The invention discloses a pseudo-color processing method of an infrared detection signal, which comprises the steps of collecting an infrared detection signal generated by an infrared detector detecting infrared radiation of an environment to be detected; performing signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing; determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; wherein, the corresponding relation is a mapping relation between each preset gray value and corresponding color information; and outputting and displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information. The infrared detection signals are directly converted into corresponding lossless gray values, and accuracy of pseudo-color infrared image representation detection results corresponding to the infrared detection signals is improved. The application also provides a false color processing device, equipment and a computer readable storage medium of the infrared detection signal, and the false color processing device, equipment and the computer readable storage medium have the beneficial effects.
Description
Technical Field
The invention relates to the technical field of infrared detection, in particular to a method, a device and a system for processing pseudo-color of an infrared detection signal and a computer readable storage medium.
Background
The infrared detection technology is popular among domestic and foreign industrial enterprise users due to a series of advantages of non-contact, real-time, rapidness, visual image, accuracy draft, wide application range and the like.
For example, in the fields of environmental monitoring, petrochemical industry, electric power, oil gas transmission and the like, gas leakage is prevented and gas leakage is rapidly detected, infrared radiation absorbed by different gases is received by an infrared detector, non-contact gas detection is carried out on corresponding energy differences, and the method has very important significance for avoiding and reducing damage loss caused by accidents. Compared with the traditional gas sensor, the gas sensor has the characteristics of high response speed, high efficiency, long distance and dynamic intuition, and is gradually one of effective means for gas leakage detection.
For example, by using the principle that infrared rays radiated by an object are positively correlated with temperature, the temperature distribution state of the surface of the object is accurately monitored by receiving the infrared rays radiated by the object, and the method is very effective for accurately reflecting the heating conditions inside and outside the equipment and early finding the potential risks of early defects of the equipment.
In summary, in the actual application process of the infrared detection technology, an infrared detector is generally used to detect infrared radiation to obtain an infrared detection signal, and an infrared radiation image capable of reflecting a detection result is generated based on the infrared detection signal, but if the manner of processing the infrared detection signal obtained by detection to form an infrared sensing image is not reasonable, the accuracy of displaying the detection result by the infrared sensing image is directly affected.
Disclosure of Invention
The invention aims to provide a pseudo-color processing method, a pseudo-color processing device, a pseudo-color processing system and a computer readable storage medium for infrared detection signals, which are beneficial to improving the accuracy of infrared induction images in the infrared detection technology.
In order to solve the technical problem, the invention provides a false color processing method of an infrared detection signal, which comprises the following steps:
collecting an infrared detection signal generated by an infrared detector detecting infrared radiation of an environment to be detected;
performing signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing;
determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; the corresponding relation is a mapping relation between each preset gray value and corresponding color information;
and outputting and displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
In an alternative embodiment of the present application, the process of predetermining the mapping relationship between each gray-scale value and the corresponding color information includes:
collecting a plurality of gray sampling points at equal intervals in a gray value range;
giving a color information sample corresponding to each gray scale sampling point;
and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray value sampling point and the corresponding color information sample.
In an alternative embodiment of the present application, the process of determining the mapping relationship between each gray value in the gray value range and the corresponding color information by using neural network training includes:
and performing neural network training by taking each gray level sampling point and the corresponding color information sample as input samples, and determining the mapping relation between each gray level value and the corresponding color information within a gray level value range.
In an alternative embodiment of the present application, the assigning the color information sample corresponding to each gray scale sampling point includes:
and giving the color information sample corresponding to each gray sampling point according to the color information data defined by the user for each gray sampling point.
In an optional embodiment of the present application, after displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information output, the method further includes:
and highlighting the risk prompt area with the gray value larger than the gray threshold value in the pseudo-color infrared image.
An infrared detection signal pseudo-color processing device, comprising:
the signal acquisition module is used for acquiring an infrared detection signal generated by detecting infrared radiation of an environment to be detected by an infrared detector;
the signal conversion module is used for carrying out signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing;
the color information module is used for determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; the corresponding relation is a mapping relation between each preset gray value and corresponding color information;
and the image display module is used for outputting and displaying the pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
In an optional embodiment of the present application, the system further includes a mapping relation module, which collects a plurality of gray scale sampling points at equal intervals within a gray scale value range; giving a color information sample corresponding to each gray scale sampling point; and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray value sampling point and the corresponding color information sample.
An infrared detection signal pseudo-color processing system comprising: the infrared optical lens, the infrared detector arranged on the output light path of the infrared optical lens and the signal processor connected with the infrared detector;
the infrared detector is used for detecting an infrared detection signal generated by infrared radiation of an environment to be detected through the infrared optical lens;
the signal processor is configured to perform the steps of the infrared detection signal pseudo-color processing method according to any one of the above-mentioned infrared detection signals.
In an optional embodiment of the present application, the infrared imaging device further includes a temperature control device connected to the infrared detector, and configured to control a temperature difference between the infrared detector and the infrared optical lens to be not greater than a preset temperature difference.
A computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the infrared detection signal pseudo-color processing method as recited in any one of the above.
The invention provides a pseudo-color processing method of an infrared detection signal, which comprises the steps of collecting an infrared detection signal generated by detecting infrared radiation of an environment to be detected by an infrared detector; performing signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing; determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; wherein, the corresponding relation is a mapping relation between each preset gray value and corresponding color information; and outputting and displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
In the application, in the process of forming the corresponding color infrared image according to the infrared detection signal generated by detecting the collected infrared detector in the environment to be detected, the infrared detection signal is not compressed, the infrared detection signal is directly converted into the corresponding lossless gray value, the problem that the information of the infrared detection signal is lost in the compression process is avoided to a great extent, the colorful pseudo-color infrared image is directly generated according to the lossless gray value, so that the detection result is represented through the pseudo-color infrared image more intuitively and accurately, and the accuracy of the detection result represented by the pseudo-color infrared image corresponding to the infrared detection signal is improved.
The application also provides a false color processing device, equipment and a computer readable storage medium of the infrared detection signal, and the false color processing device, equipment and the computer readable storage medium have the beneficial effects.
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In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a pseudo-color processing method for an infrared detection signal according to an embodiment of the present application;
fig. 2 is a block diagram of a pseudo-color processing apparatus for infrared detection signals according to an embodiment of the present invention.
Detailed Description
The infrared image formed by the infrared detection technology is different from the color image formed by the RGB imaging technology, the RGB imaging technology itself is based on sensing and detecting light waves of various colors to generate images of corresponding light wave colors, and in the infrared detection technology, the infrared detector only detects one infrared light wave. Therefore, the original image of the infrared detection obtained based on the infrared detection signal is only a gray level image without colors, but not a color image, and only the gray level difference exists between different pixel points, while the resolution capability of human eyes to the gray level is relatively weak, only twenty gray levels can be distinguished, the resolution capability of human eyes to colors is rather strong, and thousands of chromaticities can be distinguished. Therefore, in order to represent the infrared detection result more intuitively through the infrared detection image, corresponding colors are often given to the pixel points based on the gray values of the different pixel points, so that a pseudo-color image capable of displaying the detection result more obviously is formed.
However, when the gray values of the respective pixels are obtained based on the infrared detection signals, the infrared detection signals are usually converted into corresponding gray values after being compressed, and corresponding colors are further given to different gray values, so that a colorful pseudo-color infrared image is formed based on the colors corresponding to the different gray values. However, in the process of compressing the infrared detection signal, a part of the acquired and detected information is inevitably lost, and finally, the accuracy of the detection result represented by the obtained pseudo-color image is reduced.
Therefore, the technical scheme of generating the pseudo-color infrared image with the more accurate detection representation result is provided.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, fig. 1 is a schematic flow chart of a pseudo-color processing method for an infrared detection signal provided in an embodiment of the present application, where the method may include:
s11: and acquiring an infrared detection signal generated by detecting the infrared radiation of the environment to be detected by the infrared detector.
The environment to be detected in the present application is determined based on the target to be detected by the infrared detector. For example, the environment to be measured may be an environment in which infrared temperature detection is required, or may be an environment in which gas leakage detection is required.
S12: and performing signal conversion on the infrared detection signal to obtain a corresponding lossless gray value.
The lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing.
The infrared detection signal output by the infrared detector is generally 14bit or 16bit, and the common pseudo-color processing is to compress the original infrared detection signal to 8bit and then convert the original infrared detection signal into a pseudo-color image according to the mapping relation of the selected color plate. Obviously, the compressed pseudo color processing loses the number of data bits to some extent, and the information obtained by detection is lost due to the loss of the number of data bits.
In the process of converting the infrared detection signal into the gray scale value based on the infrared detection signal, the infrared detection signal is not compressed, but the original infrared detection signal is directly used for signal conversion, so that the lossless gray scale value without information loss is obtained, and the subsequent pseudo-color infrared image obtained based on the lossless gray scale value can more accurately display the detection result.
S13: and determining the color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation.
Wherein, the corresponding relation is a mapping relation between each preset gray value and the corresponding color information.
As mentioned above, without compressing the infrared detection signal, the gray scale of the lossless gray scale value obtained by conversion is relatively large, possibly up to 2000, and it is obviously a huge workload to assign a color to each gray scale.
To this end, in an alternative embodiment of the present application, the process of predetermining the mapping relationship between each gray-scale value and the corresponding color information may include:
collecting a plurality of gray sampling points at equal intervals in a gray value range;
giving color information samples corresponding to each gray level sampling point;
and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray sampling point and the corresponding color information sample.
For the gray value range, the gray value range can be set based on different detection purposes required by the infrared detector, for example, when the environment temperature is detected, a gray value maximum interval corresponding to the environment temperature fluctuation can be set based on the gray value maximum interval, and a gray value range including the gray value maximum interval is set as a gray value range for collecting gray sampling points based on the gray value maximum interval; similarly, the gray value range can be reasonably set in a similar manner corresponding to gas leakage, body temperature monitoring and the like.
The corresponding color information of each gray sampling point can be represented by an R value, a G value and a B value which represent the color of the gray sampling point. And assigning the color information sample of each gray sampling point, namely assigning corresponding R value, G value and B value to each gray sampling point.
In the gray scale value range of 2000 gray scale levels, 2000 gray scale values are included, and therefore, a plurality of gray scale sampling points can be selected at equal gray scale intervals, for example, gray scale values of 0, 10, 20. And giving color information to each gray sampling point as a color information sample of the gray sampling point.
The process of giving color information may be that the computer assigns values according to default colors, or that the user assigns values to each gray sampling point according to the preference of the user, for example, color plates of various colors are displayed on a computer display screen, and the computer can automatically generate color information about the color selected by the user and give the color information to the corresponding gray sampling point by clicking different colors on the color plates. For example, when monitoring gas leakage, a user may select red to represent a location where gas leakage exists, and for example, in temperature monitoring, a user may use yellow to represent an area with an excessively high temperature, and the like, which is not particularly limited in this application.
After the multiple gray scale sampling points are assigned, the gray scale between any two adjacent gray scale sampling points can be assigned by adopting an interpolation method. For example, the R value, G value, and B value of the gray level with the gray value of 5 may be the average values of the R value, G value, and B value of the gray sampling points with the gray values of 0 and 10, respectively, and so on, that the color information corresponding to all the gray values can be determined.
Of course, besides obtaining the color information corresponding to each gray value by using an interpolation method, each gray sampling point and the corresponding color information sample can also be used as a neural network training sample, and the mapping relationship between each gray value and the corresponding color information in the gray value range can be obtained by training, so that the technical scheme of the application can also be realized.
No matter interpolation or neural network training is adopted, the basic principle of determining the color information corresponding to each gray scale value in the embodiment is to select a plurality of gray scale sampling points for assignment, and then automatically determine the color information corresponding to all other non-assigned gray scales according to the rule presented by the color information of the assigned gray scale sampling points.
Of course, the present application does not exclude that the computer automatically assigns color information to each gray value one by one, and the corresponding relationship between each gray value and the corresponding color information is directly applied to all fields as a general color-assigning template, and the technical solution of the present application can also be implemented.
In addition, for the color information in the present application, besides being expressed by RGB color space, it can also be expressed by YUV color space, and even according to the actual requirement, by the formula:
and
the conversion is performed to obtain color information corresponding to the desired color space.
S14: and outputting and displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
After the color information corresponding to each gray value is determined, color assignment can be performed according to the gray value corresponding to each pixel point, and finally a pseudo-color infrared image is formed.
Further, in the infrared detection process, whether a target area with overhigh temperature, gas leakage and the like exists in the monitored environment or not is mainly determined, and in order to further enhance the significance of the target area, a risk prompt area with a gray value larger than a gray threshold value in the pseudo-color infrared image can be further highlighted, so that the display result is more visual and obvious.
When the risk prompt area with the gray value larger than the gray threshold is highlighted, the risk prompt area may be circled in a circled manner or other highlighting manners, which is not specifically limited in this application.
In summary, in the application process of using the infrared detection technology to perform temperature detection, gas leakage monitoring, and the like, after the infrared detector detects the infrared detection signal, the original infrared detection signal is not compressed, and a pseudo-color infrared image is generated based on the gray value corresponding to the infrared detection signal which is not compressed; the signal loss caused by infrared detection signal compression is avoided, the generation and processing process of the pseudo-color infrared image is more reasonable, and the intuition and the accuracy of the infrared image display infrared detection result are improved.
In the following, the infrared detection signal pseudo-color processing apparatus provided in the embodiment of the present invention is introduced, and the infrared detection signal pseudo-color processing apparatus described below and the infrared detection signal pseudo-color processing method described above may be referred to in correspondence with each other.
Fig. 2 is a block diagram of a pseudo-color processing apparatus for an infrared detection signal according to an embodiment of the present invention, and referring to fig. 2, the pseudo-color processing apparatus for an infrared detection signal may include:
the signal acquisition module 100 is configured to acquire an infrared detection signal generated by an infrared detector detecting infrared radiation of an environment to be detected;
the signal conversion module 200 is configured to perform signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing;
the color information module 300 is configured to determine color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relationship; the corresponding relation is a mapping relation between each preset gray value and corresponding color information;
and the image display module 400 is configured to output and display a pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
In an optional embodiment of the present application, the system further includes a mapping relation module, which collects a plurality of gray scale sampling points at equal intervals within a gray scale value range; giving a color information sample corresponding to each gray scale sampling point; and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray value sampling point and the corresponding color information sample.
In an optional embodiment of the present application, the mapping relationship module is configured to perform neural network training with each of the grayscale sampling points and the corresponding color information sample as input samples, and determine a mapping relationship between each grayscale value and corresponding color information within a grayscale value range.
In an optional embodiment of the present application, the mapping relationship module is configured to assign color information samples corresponding to each of the gray scale sampling points according to color information data defined by a user for each of the gray scale sampling points.
In an optional embodiment of the present application, the image display module 400 is configured to highlight the risk hint area with the gray value greater than the gray threshold in the pseudo-color infrared image.
The infrared detection signal pseudo color processing device of this embodiment is used to implement the foregoing infrared detection signal pseudo color processing method, so that the specific implementation manner in the infrared detection signal pseudo color processing device can be seen in the foregoing part of the embodiment of the infrared detection signal pseudo color processing method, and the specific implementation manner may refer to the description of the corresponding part of the embodiment, and is not described herein again.
The present application further provides an embodiment of a pseudo-color processing system for infrared detection signals, which may include:
the infrared optical lens, the infrared detector arranged on the output light path of the infrared optical lens and the signal processor connected with the infrared detector;
the infrared detector is used for detecting an infrared detection signal generated by infrared radiation of an environment to be detected through the infrared optical lens;
the signal processor is configured to perform the steps of the infrared detection signal pseudo-color processing method according to any one of the above-mentioned embodiments.
The infrared optical lens in the embodiment includes a lens and a filter. The infrared optical lens requires that the loss of radiation energy output to the infrared focal plane is reduced as much as possible, and a lens for reducing the F number, increasing the film-coating transmittance of the lens, and the like can be considered. And external equipment such as a fan and the like can be used for reducing the temperature difference between the infrared optical lens and the infrared detector, so that the difference between the leaked gas and the background can be distinguished, and the rapid detection is realized.
In the gas leakage detection, a known single gas is generally used, so when higher sensitivity is required, a proper optical filter can be selected according to the infrared characteristic absorption peak of the gas to be detected and leaked, and the pressure of optical design and processing technology can be properly relieved by carrying out optical design on the single gas. An infrared detector is one of core devices, a received infrared radiation signal is converted into an electric signal, because high detection sensitivity is needed, a refrigeration type infrared focal plane detector is generally adopted, the working waveband of the infrared detector needs to contain an infrared characteristic absorption peak of a detected gas, for example, SF6 is taken as an example, the infrared detector can absorb infrared light with the wavelength of 10.6 mu m in infrared spectrum to the maximum extent, the working waveband of the detector can be selected to be 10.2-10.7 mu m, and the absorption capacity of SF6 to the infrared light is much stronger than that of air, so that the temperature of the infrared detector is higher than that of the surrounding air.
Optionally, the infrared detector can further comprise a temperature control device for controlling the temperature of the infrared detector to be stable and at the optimal working environment temperature, the power is used for improving the sensitivity of the infrared detector, the general infrared detectors with medium wave and long wave need to work in a low-temperature environment, a thermoelectric temperature controller is usually adopted for controlling the temperature of the uncooled infrared detector, and a throttling refrigerator and a stirling refrigerator can be adopted for controlling the temperature of the refrigerated infrared detector. The Stirling refrigerator does not need a high-pressure gas cylinder or a high-pressure gas supply system when working, and gradually becomes a mainstream refrigeration mode applied to the infrared detector assembly.
The infrared detector comprises a detector driving module, and the key is to provide bias voltage and time sequence pulse which meet the normal work of the infrared detector so as to ensure the normal work of the infrared detector; the ADC conversion module is used for converting the analog signal into a digital signal and outputting the digital signal to the signal processing and imaging module so as to facilitate subsequent data processing.
The signal processing and imaging module carries out non-uniformity correction, stripe noise suppression, time domain filtering, space domain filtering, non-compression pseudo color processing, visible light and infrared image fusion and gas detection on the detector signal. The gas detection comprises the functions of gas outline highlighting, coloring highlighting, leakage point prejudgment, gas concentration prediction and the like.
The present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps of the infrared detection signal pseudo-color processing method according to any one of the above.
The computer-readable storage medium may include Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include elements inherent in the list. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A false color processing method for infrared detection signals is characterized by comprising the following steps:
collecting an infrared detection signal generated by an infrared detector detecting infrared radiation of an environment to be detected;
performing signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing;
determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; the corresponding relation is a mapping relation between each preset gray value and corresponding color information;
and outputting and displaying a pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
2. The method for pseudo-color processing of infrared detection signals according to claim 1, wherein the process of predetermining the mapping relationship between each gray-level value and the corresponding color information comprises:
collecting a plurality of gray sampling points at equal intervals in a gray value range;
giving a color information sample corresponding to each gray scale sampling point;
and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray value sampling point and the corresponding color information sample.
3. The method according to claim 2, wherein the determining the mapping relationship between each gray value in the gray value range and the corresponding color information by neural network training comprises:
and performing neural network training by taking each gray level sampling point and the corresponding color information sample as input samples, and determining the mapping relation between each gray level value and the corresponding color information within a gray level value range.
4. The method according to claim 2, wherein the assigning of the color information sample corresponding to each gray-scale sampling point comprises:
and giving the color information sample corresponding to each gray sampling point according to the color information data defined by the user for each gray sampling point.
5. The method for pseudo-color processing of an infrared detection signal according to claim 1, further comprising, after displaying a pseudo-color infrared image corresponding to the infrared detection signal in accordance with the color information output, the steps of:
and highlighting the risk prompt area with the gray value larger than the gray threshold value in the pseudo-color infrared image.
6. An infrared detection signal pseudo-color processing device, comprising:
the signal acquisition module is used for acquiring an infrared detection signal generated by detecting infrared radiation of an environment to be detected by an infrared detector;
the signal conversion module is used for carrying out signal conversion on the infrared detection signal to obtain a corresponding lossless gray value; the lossless gray value is a gray value obtained by converting the infrared detection signal without signal compression processing;
the color information module is used for determining color information corresponding to the lossless gray value according to the lossless gray value and the corresponding relation; the corresponding relation is a mapping relation between each preset gray value and corresponding color information;
and the image display module is used for outputting and displaying the pseudo-color infrared image corresponding to the infrared detection signal according to the color information.
7. The infrared detection signal pseudo-color processing device according to claim 6, further comprising a mapping relation module for collecting a plurality of gray scale sampling points at equal intervals within a gray scale value range; giving a color information sample corresponding to each gray scale sampling point; and determining the mapping relation between each gray value and the corresponding color information in the gray value range by adopting an interpolation algorithm or neural network training based on each gray value sampling point and the corresponding color information sample.
8. An infrared detection signal pseudo-color processing system, comprising: the infrared optical lens, the infrared detector arranged on the output light path of the infrared optical lens and the signal processor connected with the infrared detector;
the infrared detector is used for detecting an infrared detection signal generated by infrared radiation of an environment to be detected through the infrared optical lens;
the signal processor is configured to perform the steps of the infrared detection signal pseudo-color processing method according to any one of claims 1 to 5, based on the infrared detection signal.
9. The system for pseudo-color processing of infrared detection signals according to claim, further comprising a temperature control device connected to said infrared detector for controlling a temperature difference between said infrared detector and said infrared optical lens to be not greater than a preset temperature difference.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the infrared detection signal false color processing method according to any one of claims 1 to 5.
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